Antoine Lavoisier — "It is not the number of experiments, but their accuracy, that matters."
It is not the number of experiments, but their accuracy, that matters.
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More from Antoine Lavoisier
"We must trust to nothing but facts, for we are to have no other guide."
"The human mind is always eager for novelty and impatient of repetition."
"The human mind is capable of understanding all the secrets of nature."
"The greatest obstacle to discovery is not ignorance, but the illusion of knowledge."
"Science advances by correcting its errors."
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Understanding this quote
What it means
Quality over quantity in scientific inquiry. A single precise, well-controlled experiment reveals more truth than dozens of sloppy ones. Precision means controlling variables, measuring carefully, and recording results faithfully. In science and any evidence-based field today, this principle holds: accurate data drives valid conclusions, while accumulated imprecise measurements only compound errors. It cuts through the temptation to equate volume of effort with quality of knowledge.
Relevance to Antoine Lavoisier
Lavoisier rebuilt chemistry on precise measurement. He used a meticulously calibrated analytical balance to prove matter is conserved during reactions — mass in equals mass out — overturning centuries of imprecise guesswork. Where predecessors ran countless informal trials, he ran fewer, methodical ones that proved decisive. His dismantling of the phlogiston theory succeeded not through repetition but through careful quantification. Precision was his signature contribution to transforming natural philosophy into modern science.
The era
In the 18th-century Enlightenment, European science was transitioning from speculative natural philosophy to rigorous empiricism, but experimental standards remained loose. Most chemists worked qualitatively, describing reactions without measuring masses. Phlogiston theory explained combustion through an invisible substance nobody could weigh. The scientific academies of Paris and London were formalizing methodology. Precise, repeatable experimentation was becoming the marker that separated serious science from learned but untested speculation.
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